Agentic AI
security.
Autonomous AI agents act — they call tools, touch data and chain decisions at machine speed. KRONEUS is a UK-based Zero Trust security company that governs those actions at runtime, so your agents move fast without becoming ungovernable.
Definition
What is agentic AI security?
Agentic AI security is the practice of controlling what autonomous AI agents are allowed to do — the tools they call, the data they access and the actions they chain — enforced at runtime, at the execution layer, under Zero Trust principles.
Model-level safety asks whether an output is appropriate. Agentic security asks a harder operational question: should this agent be allowed to take this action, on this system, right now? Once a model starts executing — browsing, writing to databases, calling APIs, moving tickets, sending messages — it stops being a content problem and becomes an execution problem.
That is the layer KRONEUS builds for: identity, intent and tool-access validation on every action, behavioural monitoring while agents run, and an audit trail that lets security and governance teams answer for every decision an agent made.
Threat model
Why autonomous agents break traditional security
Perimeter controls assume a human initiates each sensitive action. Agents do not work that way — and the attack classes documented in MITRE ATLAS and the OWASP Top 10 for LLM applications exploit exactly that gap.
01
Prompt injection
Hostile instructions hidden in content the agent reads — a web page, an email, a document — steer it into actions its operator never asked for. Indirect injection needs no access to your systems at all, only to something your agent will read.
02
Tool & function-call abuse
Agents act through tools: shell commands, APIs, databases, payments. A manipulated agent does not need to break your perimeter — it is already inside it, holding credentials, calling tools you gave it.
03
Data exfiltration
An agent with retrieval access can be steered into gathering sensitive data and moving it outward through any channel it can write to — a reply, a webhook, an encoded URL parameter.
04
Memory & context poisoning
Long-lived agents accumulate memory. Poison what the agent remembers and you influence every future decision it makes — an attack that persists long after the hostile input is gone.
05
Privilege escalation by chaining
Each step looks harmless in isolation; the chain is not. Agents compose small permissions into large outcomes, crossing boundaries a human reviewer would have questioned.
06
Behavioural drift
Autonomy plus feedback loops means behaviour changes over time without any attacker involved. Yesterday’s safe agent is not evidence about today’s — without monitoring, nobody is checking.
The control plane
Runtime governance: security at the execution layer
You cannot approve every agent action by hand, and you cannot audit your way out after the fact. The answer is a control plane that sits where the actions happen. This is what SELA enforces on every agent action:
01
Identity
Every agent action carries a verified identity — which agent, on whose behalf, in which workflow. Anonymous execution is the first thing to eliminate.
02
Intent & policy
Each tool call is validated against policy at the moment of execution: is this action, on this resource, within this workflow’s mandate? Out-of-policy actions are stopped before they run, not flagged after.
03
Behavioural monitoring
Agent behaviour is watched for the patterns that precede incidents — prompt abuse, unusual data access, drift from established intent — while the agent runs, not in a quarterly review.
04
Audit & traceability
Every decision — allowed or blocked — is recorded with its full context. When governance, audit or an incident review asks “why did the agent do that?”, there is an answer.
Containment, not just observation: out-of-policy actions are stopped before they execute, and the humans who own the workflow keep the approval gates. The same governed-autonomy model runs our own products — including the AI that triages this website’s enquiries behind a human approve-and-send gate.
The KRONEUS stack
Product where it scales. Services where it counts.
FAQ
Agentic AI security, answered
What is agentic AI security?
Agentic AI security is the discipline of controlling what autonomous AI agents are allowed to do at runtime — the tools they call, the data they touch and the actions they chain — rather than only filtering what a model says. It combines identity, policy enforcement, behavioural monitoring and audit at the execution layer, so an agent that is manipulated or drifts off-policy is contained before its actions reach production systems.
How is it different from traditional application security?
Traditional controls assume a human initiates each sensitive action, so they gate requests at the perimeter and review afterwards. Agents invert that: a single prompt can fan out into hundreds of autonomous tool calls that cross system boundaries in seconds. Securing them means moving enforcement to the moment of execution — validating each action against policy in real time instead of trusting the session that started it.
Do AI agents really need Zero Trust?
Yes — arguably more than human users do. An agent holds credentials, acts at machine speed and can be steered by content it reads (prompt injection), so granting it standing trust is a standing risk. Zero Trust for agents means every tool call is verified against identity, intent and policy, with least-privilege access and a complete decision trail.
What attacks does runtime governance defend against?
The classes documented in public frameworks such as MITRE ATLAS and the OWASP Top 10 for LLM applications: prompt injection (direct and indirect), tool and function-call abuse, sensitive-data exfiltration, memory and context poisoning, privilege escalation through chained actions, and gradual behavioural drift away from the operator’s intent.
How does KRONEUS approach agentic AI security?
Through SELA, our execution-layer product: it validates identity, intent and tool access for every agent action, monitors behaviour for drift and abuse, and records a decision trail governance teams can review. The same philosophy runs through FORGE, our autonomous ITSM agent, which keeps humans on the approval gates. We also offer web and API penetration testing for the applications agents connect to.
Where does KRONEUS operate?
KRONEUS is a UK-based company serving enterprises across the United Kingdom and Australia, with deployment options spanning private cloud, on-premise and hybrid environments.
Deploy agents with control, not hope.
Join the SELA demo waitlist, or talk to us about securing the agents — and the applications — your business runs on.